major_minor_demo1.py

#!/usr/bin/env python"""Demonstrate how to use major and minor tickers.The two relevant userland classes are Locators and Formatters.Locators determine where the ticks are and formatters control theformatting of ticks.Minor ticks are off by default (NullLocator and NullFormatter). Youcan turn minor ticks on w/o labels by setting the minor locator. Youcan also turn labeling on for the minor ticker by setting the minorformatterMake a plot with major ticks that are multiples of 20 and minor ticksthat are multiples of 5. Label major ticks with %d formatting butdon't label minor ticksThe MultipleLocator ticker class is used to place ticks on multiples ofsome base. The FormatStrFormatter uses a string format string (eg'%d' or '%1.2f' or '%1.1f cm' ) to format the tickThe pylab interface grid command chnages the grid settings of themajor ticks of the y and y axis together. If you want to control thegrid of the minor ticks for a given axis, use for example ax.xaxis.grid(True, which='minor')Note, you should not use the same locator between different Axisbecause the locator stores references to the Axis data and view limits"""from pylab import *
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
majorLocator = MultipleLocator(20)
majorFormatter = FormatStrFormatter('%d')
minorLocator = MultipleLocator(5)
t = arange(0.0, 100.0, 0.1)
s = sin(0.1*pi*t)*exp(-t*0.01)
ax = subplot(111)
plot(t,s)
ax.xaxis.set_major_locator(majorLocator)
ax.xaxis.set_major_formatter(majorFormatter)
#for the minor ticks, use no labels; default NullFormatter
ax.xaxis.set_minor_locator(minorLocator)
show()